News
Tesla’s Battery strategy is in preparation for two of its most anticipated vehicles
Tesla has continued to attempt to improve its battery packs and cells despite being the industry leader in EV battery tech. Interestingly enough, the electric car company located in Silicon Valley has had some of the best vehicles in terms of EV range in the past ten years. While other car companies were struggling to equip their attempts at electric cars with 100 miles of usable range, Tesla was and has been pushing the envelope since the original Roadster in 2008.
But even though the company has facilitated several vehicles in its fleet to have over 300 miles of range, and one with over 400 miles, it hasn’t been enough to let Tesla’s battery engineers rest. Even though the Model S Long Range Plus configuration packs 402 miles of electric range, which is plenty for most drivers, Tesla has several cars in the works that pack considerably more range than that. These are also not your “run of the mill” EVs, either. They are the Tri-Motor Cybertruck and the next-gen Roadster.
Batteries are what drive an EV to be all that it can be. They are responsible for the range and the performance of the car, along with the motors and engineering of the chassis and body. However, battery tech is ultimately what decides if a vehicle is going to be a successful electric car or just another one to add to the list of underperforming automobiles.
The key to building a great electric car, like anything else, is starting at the foundation. When you want to make a great pizza, you start with great dough. When you want to make a great EV, you start with the battery cells.
The problem with batteries is that there are no two cells that are the same when the materials that are used within are concerned. Not only that, but sometimes the elements that make some batteries stable and help with energy density are controversial. This is the case with cobalt.
But before I go into a spiel about Tesla’s use of cobalt and how the company responsibly sources it, let’s stay on topic.
Tesla’s battery teams in Canada, led by Jeff Dahn at Dalhousie University, released a new paper this week that indicated an electrolyte solution could contribute to increased battery energy density, and could lead to an extended lifespan.
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The solution would be used to combat the effects of degradation, and would ultimately lead to a longer life span and increased energy density. Enter the Tri-Motor Cybertruck and Roadster.
Both of these cars have range ratings that are well above the Model S Long Range Plus variant. The Cybertruck’s Tri-Motor will have 500+ miles of range, and the Roadster will have 620 miles.
However, Tesla’s current cells are not capable of holding this amount of range. If the batteries are not capable of holding excessive amounts of energy density, they will not perform in the fashion that they were intended. Therefore, Tesla has to continue developing its cells to promote longer-range driving and a long lifespan.
Starting with the Cybertruck, which has an estimated range of “500+ miles,” according to Tesla’s website. Currently, Tesla does not have a battery pack released that is capable of that kind of range, so the batteries must improve. The Tri-Motor setup will certainly help with the towing capacity and acceleration. Still, the battery pack within the Cybertruck has to work efficiently to not only supply power to those motors, but it also has to maintain energy so it can keep range at a reasonable level.
With the Roadster, things are slightly different. This car will (more than likely) not be towing things or have excessive amounts of cargo in the back, so there isn’t as much involved with maintaining range through laborious work. However, it is one of the fastest cars ever made, and Elon Musk has said in the past that the range of the Roadster will be over 1,000 kilometers or 621 miles.
Ultimately, the development of Tesla’s cells has to continue to improve. Obviously, the battery packs for both of the vehicles that were talked about in this article will have battery packs that are larger than the 100 kWh packs that Tesla puts in the Performance variants of the Model S and Model X. But there is a chance that Tesla equips the Cybertruck and Roadster with smaller, more energy-dense batteries like the 2170 cells that are used in the Model 3 and Model Y.
Lucid’s reveal of the 517-mile range that their new EV, the Air, has, certainly must have lit a fire under the rear-ends of Tesla’s battery engineers. Tesla has had a reputation of being the EV company with the best range, and now that Lucid “technically” has the title for that, even though the car isn’t in production, Tesla will likely be gearing up for a takeback of that label.
Tesla’s battery strategy from here on out will be interesting considering other auto companies have proven they are capable of competing in terms of EV range. There is still the fact that Tesla is actually producing these cars on a massive scale and we know that the company’s cars can perform, we don’t know this about the other vehicles yet.
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News
Tesla intertwines FSD with in-house Insurance for attractive incentive
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla intertwined its Full Self-Driving (Supervised) suite with its in-house Insurance initiative in an effort to offer an attractive incentive to drivers.
Tesla announced that its new Safety Score 3.0 will automatically have a perfect score of 100 with every mile driven with Full Self-Driving (Supervised) enabled.
The change is designed to boost customers’ average safety scores and deliver noticeably lower monthly premiums.
The move marks the clearest link yet between Tesla’s autonomous driving technology and its proprietary insurance product. Tesla Insurance already relies on real-time vehicle data—such as acceleration, braking, following distance, and speed—to calculate a Safety Score between 0 and 100. Higher scores have long translated into cheaper rates.
Under the previous system, however, even brief manual interventions could drag down the average, frustrating owners who rely heavily on FSD. Version 3.0 eliminates that penalty for supervised autonomous miles, effectively treating FSD-driven segments as the safest possible driving behavior.
The incentive is immediate and financial. Drivers who keep FSD engaged for the majority of their trips will see their overall score rise, potentially shaving hundreds of dollars off annual premiums.
Tesla framed the update as a direct response to customer feedback, many of whom had complained that the old scoring model punished the very behavior it was meant to encourage.
For now, the program applies only to new policies in six states: Indiana, Tennessee, Texas, Arizona, Virginia, and Illinois.
Existing policyholders are not yet included, a point that drew swift questions from the Tesla community. Many owners in other states, including California and Georgia, expressed hope that the benefit would expand nationwide soon.
The announcement arrives as Tesla continues to roll out FSD Supervised updates and push for regulatory approval of more advanced autonomy. By tying insurance savings directly to FSD usage, the company is putting its own actuarial weight behind the technology’s safety claims.
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla has not disclosed exact premium reductions or the full rollout timeline beyond the six launch states.
Still, the message is clear: the more drivers trust FSD Supervised, the more Tesla Insurance will reward them. In an era when legacy insurers remain cautious about autonomous tech, Tesla is betting that its own data will prove the safest miles are the ones driven hands-free.
Elon Musk
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Tesla has finalized its chip design for AI5, as Elon Musk confirmed today that the new chip has reached the tape-out stage, the final step before mass production.
But in a brief reply on X, Musk clarified Tesla’s AI hardware roadmap, essentially confirming that the new chip will not be utilized for being “enough to achieve much better than human safety for FSD.”
He said that AI4 is enough to do that.
Instead, the AI5 chip will be focused on Tesla’s big-time projects for the future: Optimus and supercomputer clusters.
Musk thanked TSMC and Samsung for production support, noting that AI5 could become “one of the most produced AI chips ever.” Yet, the key pivot came in his direct answer: vehicles no longer need the bleeding-edge silicon.
And thank you to @TaiwanSemi_TSC and @Samsung for your support in bringing this chip to production! It will be one of most produced AI chips ever.
— Elon Musk (@elonmusk) April 15, 2026
Existing AI4 hardware, which is already deployed in hundreds of thousands of HW4-equipped Teslas, delivers safety metrics superior to human drivers for Full Self-Driving. AI5 will instead accelerate Optimus robot development and massive Dojo-style training clusters.
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Now, with AI4 proving sufficient, the company avoids costly retrofits across its fleet while redirecting next-generation compute toward higher-value applications: dexterous robots and exponential training scale.
But is it reasonable to assume AI4 enables unsupervised self-driving? Yes, but with important caveats.
On the hardware side, the claim is credible. Tesla’s FSD stack runs end-to-end neural networks trained on billions of miles of real-world data. Internal safety data reportedly shows AI4-equipped vehicles already outperforming average human drivers by a significant margin in controlled metrics (collision avoidance, reaction time, edge-case handling).
Dual-redundant AI4 chips provide ample headroom for the driving task, leaving bandwidth for future model improvements without new silicon. Musk’s assertion aligns with Tesla’s pattern of over-provisioning compute early, then optimizing ruthlessly, exactly as HW3 once sufficed before HW4 scaled further.
Optimus and our supercomputer clusters.
AI4 is enough to achieve much better than human safety for FSD.
— Elon Musk (@elonmusk) April 15, 2026
Unsupervised autonomy, meaning Level 4 or higher, is not solely a compute problem. Regulatory approval remains the primary gate.
Even if AI4 achieves “much better than human” safety statistically, agencies like the NHTSA demand exhaustive validation, liability frameworks, and public trust.
Tesla’s supervised FSD has shown rapid gains in recent versions, yet real-world edge cases, like construction zones, emergency vehicles, and adverse weather, still require driver intervention in many jurisdictions. Competitors like Waymo operate limited unsupervised fleets, but only in geofenced areas with extensive mapping. Tesla’s vision-only, fleet-scale approach is more ambitious—and harder to certify globally.
In short, Musk’s post is both pragmatic and bullish. AI4 is likely capable of unsupervised FSD from a technical standpoint. Whether regulators and consumers agree, and how quickly, will determine if Tesla’s bet pays off.
The company’s capital-efficient path keeps existing cars relevant while pouring future compute into robots. If the safety data holds, unsupervised autonomy could arrive sooner than many expect.
Elon Musk
Elon Musk signals expansion of Tesla’s unique side business
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
Elon Musk has signaled an expansion of Tesla’s unique side business, something that really has nothing to do with cars or spaceships, but fans of the company have truly adopted it as just another one of its awesome ventures.
Musk confirmed on Wednesday that Tesla would build a new Diner location in Palo Alto, Northern California. After hinting last October that it “probably makes sense to open one near our Giga Texas HQ in Austin and engineering HQ in Palo Alto,” it seems one of those locations is being set into motion.
Sure
— Elon Musk (@elonmusk) April 15, 2026
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
He first floated broader expansion plans shortly after the LA opening in July 2025, noting that if the prototype succeeded, Tesla would roll out similar venues in major cities worldwide and along long-distance Supercharger routes.
Earlier hints included a confirmed second site at Starbase in Texas, tied to SpaceX operations, underscoring the Diner’s role in enhancing Tesla’s ecosystem behind vehicles.
The Los Angeles location on Santa Monica Boulevard in West Hollywood has served as a high-profile test case. Opened in July 2025 at 7001 Santa Monica Blvd., it features the world’s largest urban Supercharging station with 80 V4 stalls open to all NACS-compatible EVs, over 250 dining seats, rooftop views, and 24/7 service.
The retro-futuristic building replaced a former Shakey’s and quickly became a destination. Tesla reported selling 50,000 burgers in the first 72 days—an average of over 700 daily—drawing crowds with Cybertruck-shaped packaging, breakfast extensions until 2 p.m., and movie screenings.
Palo Alto stands out as a logical next step for several reasons. As Tesla’s longstanding engineering headquarters in the heart of Silicon Valley, the city is home to thousands of Tesla employees, engineers, and executives who could benefit from a convenient, branded gathering spot.
The area boasts high EV adoption rates, dense tech talent, and heavy traffic along key corridors, making a large Supercharger-diner an ideal fit for both daily commuters and long-haul travelers.
Proximity to Stanford University and the innovation ecosystem would amplify its appeal, potentially serving as a showcase for Tesla’s vision of integrated mobility and lifestyle experiences. It could be a great way for Tesla to recruit new talent from one of the country’s best universities.
If Tesla and Musk decide to move forward with a Palo Alto diner, it would build directly on the LA prototype’s momentum while addressing Musk’s earlier calls for expansion near core Tesla hubs.
Whether it materializes as a full confirmation or evolves from these hints remains to be seen, but the pattern is clear: Tesla is testing ways to make charging stops memorable. For EV drivers and enthusiasts alike, a Silicon Valley outpost could blend cutting-edge tech with nostalgic comfort, further embedding Tesla into everyday culture. As Musk’s comments suggest, the future of the Diner looks promising.
Tesla intertwines FSD with in-house Insurance for attractive incentive
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
